Job Description

Role: Data/Business Analyst – Segmentation

Experience: 6–8 Years of U.S. Experience

Location: Local to Virginia, Maryland, or Washington, D.C. (Hybrid – 4 days onsite)

Job Description

Rockwoods is currently seeking a skilled Data/Business Analyst – Segmentation for an exciting opportunity with a top-tier client located in Tysons Corner, VA. This hybrid role combines both data analysis and business analysis responsibilities, offering a dynamic opportunity to work across technical and strategic initiatives.

The role requires working onsite 4 days a week , and all interviews will be conducted in person . We are accepting applications only from local candidates or those willing to relocate to meet the on-site requirements. If this aligns with your background and interests, we encourage you to apply.

Key Responsibilities

1. Data Segmentation & Analysis

• Develop and refine data segmentation models using customer behavior, demographics, and product usage data.
• Conduct in-depth analysis to identify segment-specific trends and provide actionable recommendations to enhance product and business strategies.

2. Data Visualization & Reporting

• Build and maintain dashboards to track deposit-related metrics such as balances, attrition, and churn by customer segment.
• Analyze datasets after data extraction, identify trends and patterns, and highlight issues or anomalies to guide decision-making.

3. Business Analysis & Stakeholder Collaboration

• Partner with product, marketing, and business teams to understand requirements and deliver data-backed insights.
• Participate in campaign strategy and execution based on segmentation insights.

Required Qualifications and Skills

Experience:

• 6–8 years of U.S.-based experience, preferably in the banking or financial services sector.

Education:

• Bachelor's degree in Data Science, Engineering, Computer Science, or a related field.

Technical Skills:

• Proficient in SQL, Python, R, or similar programming languages.
• Hands-on experience with data visualization tools such as Tableau or Power BI.

Core Competencies:

• Strong analytical and problem-solving abilities with exceptional attention to detail.
• Excellent communication skills, with the ability to present insights to both technical and non-technical stakeholders.
• Ability to manage multiple priorities and thrive in a fast-paced environment.

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